2 Commits

Author SHA1 Message Date
徐学颢
c8080d0815 add kick test script 2026-04-19 21:16:41 +08:00
徐学颢
2568fc1a9a add keyframe kick behavior, but still need to be improved 2026-04-18 18:42:06 +08:00
18 changed files with 1191 additions and 363 deletions

1
.gitignore vendored
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@@ -15,7 +15,6 @@ dist/
*.npz *.npz
*.xml *.xml
*.json *.json
*.yaml
*.iml *.iml
*.pyc *.pyc
.TXT .TXT

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@@ -1,7 +1,10 @@
from dataclasses import Field
import logging import logging
from typing import Mapping
import numpy as np import numpy as np
from utils.math_ops import MathOps from utils.math_ops import MathOps
from world.commons.field import FIFAField, HLAdultField, Soccer7vs7Field
from world.commons.play_mode import PlayModeEnum, PlayModeGroupEnum from world.commons.play_mode import PlayModeEnum, PlayModeGroupEnum
@@ -16,6 +19,39 @@ class Agent:
based on the current state of the world and game conditions. based on the current state of the world and game conditions.
""" """
BEAM_POSES: Mapping[type[Field], Mapping[int, tuple[float, float, float]]] ={
FIFAField: {
1: (2.1, 0, 0),
2: (22.0, 12.0, 0),
3: (22.0, 4.0, 0),
4: (22.0, -4.0, 0),
5: (22.0, -12.0, 0),
6: (15.0, 0.0, 0),
7: (4.0, 16.0, 0),
8: (11.0, 6.0, 0),
9: (11.0, -6.0, 0),
10: (4.0, -16.0, 0),
11: (7.0, 0.0, 0),
},
HLAdultField: {
1: (7.0, 0.0, 0),
2: (2.0, -1.5, 0),
3: (2.0, 1.5, 0),
},
Soccer7vs7Field: {
1: (2.1, 0, 0),
2: (22.0, 12.0, 0),
3: (22.0, 4.0, 0),
4: (22.0, -4.0, 0),
5: (22.0, -12.0, 0),
6: (15.0, 0.0, 0),
7: (4.0, 16.0, 0)
}
}
TEAMMATE_INFO_MAX_AGE: float = 0.8
SUPPORT_DISTANCE_FROM_BALL: float = 1.2
def __init__(self, agent): def __init__(self, agent):
""" """
Creates a new DecisionMaker linked to the given agent. Creates a new DecisionMaker linked to the given agent.
@@ -27,6 +63,10 @@ class Agent:
self.agent: Base_Agent = agent self.agent: Base_Agent = agent
self.is_getting_up: bool = False self.is_getting_up: bool = False
self.is_kicking: bool = False
self.current_shot_target_point: np.ndarray | None = None
self.target_point: np.ndarray = np.array([0.0, 0.0])
self.my_pos: np.ndarray = self.agent.world.global_position[:2]
def update_current_behavior(self) -> None: def update_current_behavior(self) -> None:
""" """
@@ -43,56 +83,50 @@ class Agent:
PlayModeGroupEnum.ACTIVE_BEAM, PlayModeGroupEnum.ACTIVE_BEAM,
PlayModeGroupEnum.PASSIVE_BEAM, PlayModeGroupEnum.PASSIVE_BEAM,
): ):
beam_pose = self.agent.world.field.get_beam_pose(self.agent.world.number)
self.agent.server.commit_beam( self.agent.server.commit_beam(
pos2d=beam_pose[:2], pos2d=self.BEAM_POSES[type(self.agent.world.field)][self.agent.world.number][:2],
rotation=beam_pose[2], rotation=self.BEAM_POSES[type(self.agent.world.field)][self.agent.world.number][2],
) )
if self.is_getting_up or self.agent.skills_manager.is_ready(skill_name="GetUp"): if self.is_getting_up or self.agent.skills_manager.is_ready(skill_name="GetUp"):
self.is_getting_up = not self.agent.skills_manager.execute(skill_name="GetUp") self.is_getting_up = not self.agent.skills_manager.execute(skill_name="GetUp")
elif self.agent.world.playmode is PlayModeEnum.PLAY_ON: elif self.agent.world.playmode is PlayModeEnum.PLAY_ON:
self.carry_ball() active_player_number = self.get_active_player_number()
if active_player_number == self.agent.world.number:
# self.carry_ball()
self.target_point = self.my_pos + np.array([4.0, 0.0])
self.kick_ball()
else:
# self.execute_support_behavior()
self.agent.skills_manager.execute("Neutral")
elif self.agent.world.playmode in (PlayModeEnum.BEFORE_KICK_OFF, PlayModeEnum.THEIR_GOAL, PlayModeEnum.OUR_GOAL): elif self.agent.world.playmode in (PlayModeEnum.BEFORE_KICK_OFF, PlayModeEnum.THEIR_GOAL, PlayModeEnum.OUR_GOAL):
self.agent.skills_manager.execute("Neutral") self.agent.skills_manager.execute("Neutral")
else: else:
self.carry_ball() # self.execute_support_behavior()
self.kick_ball()
self.agent.robot.commit_motor_targets_pd() self.agent.robot.commit_motor_targets_pd()
def carry_ball(self): def carry_ball(self):
""" """
Minimal catch-ball behavior. Basic example of a behavior: moves the robot toward the goal while handling the ball.
All players share the same logic:
1. approach a point behind the ball
2. reposition with a lateral offset if they are close but not yet behind it
3. push the ball forward once they are aligned
""" """
their_goal_pos = self.agent.world.field.get_their_goal_position()[:2] target_point = self.target_point
ball_pos = self.agent.world.ball_pos[:2] ball_pos = self.agent.world.ball_pos[:2]
my_pos = self.agent.world.global_position[:2] my_pos = self.agent.world.global_position[:2]
ball_to_goal = their_goal_pos - ball_pos if self.kick_ball(target_point=target_point):
bg_norm = np.linalg.norm(ball_to_goal) return
if bg_norm <= 1e-6:
ball_to_goal_dir = np.array([1.0, 0.0])
else:
ball_to_goal_dir = ball_to_goal / bg_norm
lateral_dir = np.array([-ball_to_goal_dir[1], ball_to_goal_dir[0]]) ball_to_target = target_point - ball_pos
bt_norm = np.linalg.norm(ball_to_target)
if bt_norm == 0:
return
ball_to_target_dir = ball_to_target / bt_norm
back_offset = 0.40 dist_from_ball_to_start_carrying = 0.30
side_offset = 0.35 carry_ball_pos = ball_pos - ball_to_target_dir * dist_from_ball_to_start_carrying
push_distance = 0.80
approach_distance = 0.90
push_start_distance = 0.55
behind_margin = 0.08
angle_tolerance = np.deg2rad(20.0)
behind_point = ball_pos - ball_to_goal_dir * back_offset
push_target = ball_pos + ball_to_goal_dir * push_distance
my_to_ball = ball_pos - my_pos my_to_ball = ball_pos - my_pos
my_to_ball_norm = np.linalg.norm(my_to_ball) my_to_ball_norm = np.linalg.norm(my_to_ball)
@@ -101,39 +135,160 @@ class Agent:
else: else:
my_to_ball_dir = my_to_ball / my_to_ball_norm my_to_ball_dir = my_to_ball / my_to_ball_norm
cosang = np.dot(my_to_ball_dir, ball_to_goal_dir) cosang = np.dot(my_to_ball_dir, ball_to_target_dir)
cosang = np.clip(cosang, -1.0, 1.0) cosang = np.clip(cosang, -1.0, 1.0)
angle_diff = np.arccos(cosang) angle_diff = np.arccos(cosang)
aligned = (my_to_ball_norm > 1e-6) and (angle_diff <= angle_tolerance)
behind_ball = np.dot(my_pos - ball_pos, ball_to_goal_dir) < -behind_margin ANGLE_TOL = np.deg2rad(7.5)
desired_orientation = MathOps.vector_angle(ball_to_goal) aligned = (my_to_ball_norm > 1e-6) and (angle_diff <= ANGLE_TOL)
lateral_sign = np.sign(np.cross(ball_to_goal_dir, my_to_ball_dir)) behind_ball = np.dot(my_pos - ball_pos, ball_to_target_dir) < 0
if lateral_sign == 0: desired_orientation = MathOps.vector_angle(ball_to_target)
lateral_sign = 1.0 if (my_pos[1] - ball_pos[1]) >= 0 else -1.0
reposition_point = behind_point + lateral_dir * lateral_sign * side_offset if not aligned or not behind_ball:
self.agent.skills_manager.execute(
if my_to_ball_norm > approach_distance: "Walk",
target_2d = behind_point target_2d=carry_ball_pos,
orientation = None is_target_absolute=True,
elif not behind_ball: orientation=None if np.linalg.norm(my_pos - carry_ball_pos) > 2 else desired_orientation
target_2d = reposition_point )
orientation = None if np.linalg.norm(my_pos - reposition_point) > 0.8 else desired_orientation
elif not aligned and my_to_ball_norm > push_start_distance:
target_2d = behind_point
orientation = desired_orientation
else: else:
target_2d = push_target self.agent.skills_manager.execute(
"Walk",
target_2d=target_point,
is_target_absolute=True,
orientation=desired_orientation orientation=desired_orientation
)
if np.linalg.norm(target_2d - my_pos) <= 1e-4: def kick_ball(self, target_point=None):
target_2d = my_pos + ball_to_goal_dir * 0.30 if target_point is None:
target_point = self.target_point
target_point = np.asarray(target_point, dtype=float)[:2]
ball_pos = self.agent.world.ball_pos[:2]
my_pos = self.agent.world.global_position[:2]
ball_to_target = target_point - ball_pos
ball_to_target_dist = np.linalg.norm(ball_to_target)
if ball_to_target_dist <= 1e-6:
return False
if self.is_kicking:
if self.current_shot_target_point is None:
self.current_shot_target_point = target_point
active_target = self.current_shot_target_point
active_distance = np.linalg.norm(active_target - ball_pos)
self.is_kicking = not self.agent.skills_manager.execute(
"Kick", distance=active_distance
)
if not self.is_kicking:
self.current_shot_target_point = None
return True
my_to_ball = ball_pos - my_pos
my_to_ball_dist = np.linalg.norm(my_to_ball)
ball_to_target_dir = ball_to_target / ball_to_target_dist
behind_ball = np.dot(my_pos - ball_pos, ball_to_target_dir) < 0
me_to_ball_dir = ball_pos - my_pos
me_to_ball_dir_norm = np.linalg.norm(me_to_ball_dir)
desired_orientation = MathOps.vector_angle(me_to_ball_dir)
current_orientation = self.agent.robot.global_orientation_euler[2]
orientation_error = abs(
MathOps.normalize_deg(desired_orientation - current_orientation)
)
lateral_error_to_shot_line, _ = MathOps.distance_point_to_line(
p=my_pos,
a=ball_pos,
b=target_point,
)
kick_offset = MathOps.rotate_2d_vec(np.array([0.0, -0.1]), desired_orientation)
close_to_ball = my_to_ball_dist <= 0.24
good_orientation = orientation_error <= 8.0
good_lateral_offset = lateral_error_to_shot_line <= 0.16
can_shoot = (
close_to_ball
and behind_ball
and good_orientation
and good_lateral_offset
)
if not can_shoot:
prepare_offset = 0.1
prepare_pos = ball_pos - ball_to_target_dir * prepare_offset + kick_offset
self.agent.skills_manager.execute( self.agent.skills_manager.execute(
"Walk", "Walk",
target_2d=target_2d, target_2d=prepare_pos,
is_target_absolute=True, is_target_absolute=True,
orientation=orientation, orientation=desired_orientation,
)
return True
self.current_shot_target_point = target_point
self.is_kicking = not self.agent.skills_manager.execute(
"Kick", distance=ball_to_target_dist
)
if not self.is_kicking:
self.current_shot_target_point = None
return True
def get_active_player_number(self) -> int:
world = self.agent.world
ball_pos = world.ball_pos[:2]
server_time = world.server_time
my_num = world.number
my_pos = world.global_position[:2]
best_player_number = my_num
best_distance = np.linalg.norm(my_pos - ball_pos)
for teammate_number, teammate in enumerate(world.our_team_players, start=1):
if teammate_number == my_num:
continue
if teammate.last_seen_time is None or server_time is None:
continue
info_age = server_time - teammate.last_seen_time
if info_age > self.TEAMMATE_INFO_MAX_AGE:
continue
teammate_pos = teammate.position[:2]
teammate_distance = np.linalg.norm(teammate_pos - ball_pos)
if teammate_distance + 1e-6 < best_distance:
best_distance = teammate_distance
best_player_number = teammate_number
elif abs(teammate_distance - best_distance) <= 1e-6:
best_player_number = min(best_player_number, teammate_number)
return best_player_number
def execute_support_behavior(self) -> None:
world = self.agent.world
my_pos = world.global_position[:2]
ball_pos = world.ball_pos[:2]
target_point = self.target_point
ball_to_target = target_point - ball_pos
bt_norm = np.linalg.norm(ball_to_target)
if bt_norm <= 1e-6:
ball_to_target_dir = np.array([1.0, 0.0])
else:
ball_to_target_dir = ball_to_target / bt_norm
support_pos = ball_pos - ball_to_target_dir * self.SUPPORT_DISTANCE_FROM_BALL
support_orientation = MathOps.vector_angle(ball_pos - my_pos)
self.agent.skills_manager.execute(
"Walk",
target_2d=support_pos,
is_target_absolute=True,
orientation=support_orientation,
) )

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@@ -5,7 +5,6 @@ from world.robot import T1, Robot
from behaviors.behavior_manager import BehaviorManager from behaviors.behavior_manager import BehaviorManager
from world.world import World from world.world import World
from communication.server import Server from communication.server import Server
from communication.monitor_client import MonitorClient
from communication.world_parser import WorldParser from communication.world_parser import WorldParser
logger = logging.getLogger(__file__) logger = logging.getLogger(__file__)
@@ -36,7 +35,6 @@ class Base_Agent:
self.server: Server = Server( self.server: Server = Server(
host=host, port=port, world_parser=self.world_parser host=host, port=port, world_parser=self.world_parser
) )
self.monitor: MonitorClient = MonitorClient(host=host, port=port + 1)
self.robot: Robot = T1(agent=self) self.robot: Robot = T1(agent=self)
self.skills_manager: BehaviorManager = BehaviorManager(agent=self) self.skills_manager: BehaviorManager = BehaviorManager(agent=self)
self.decision_maker: Agent = Agent(agent=self) self.decision_maker: Agent = Agent(agent=self)
@@ -55,7 +53,6 @@ class Base_Agent:
- Sends the next set of commands to the server. - Sends the next set of commands to the server.
""" """
self.server.connect() self.server.connect()
self.monitor.connect()
self.server.send_immediate( self.server.send_immediate(
f"(init {self.robot.name} {self.world.team_name} {self.world.number})" f"(init {self.robot.name} {self.world.team_name} {self.world.number})"
@@ -81,5 +78,4 @@ class Base_Agent:
Logs a shutdown message and closes the server connection. Logs a shutdown message and closes the server connection.
""" """
logger.info("Shutting down.") logger.info("Shutting down.")
self.monitor.close()
self.server.shutdown() self.server.shutdown()

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@@ -1,4 +1,5 @@
from behaviors.custom.keyframe.get_up.get_up import GetUp from behaviors.custom.keyframe.get_up.get_up import GetUp
from behaviors.custom.keyframe.kick.kick import Kick
from behaviors.custom.keyframe.keyframe import KeyframeSkill from behaviors.custom.keyframe.keyframe import KeyframeSkill
from behaviors.custom.keyframe.poses.neutral.neutral import Neutral from behaviors.custom.keyframe.poses.neutral.neutral import Neutral
from behaviors.behavior import Behavior from behaviors.behavior import Behavior
@@ -22,7 +23,7 @@ class BehaviorManager:
Each skill is indexed by its class name. Each skill is indexed by its class name.
""" """
classes: list[type[Behavior]] = [Walk, Neutral, GetUp] classes: list[type[Behavior]] = [Walk, Neutral, GetUp, Kick]
# instantiate each Skill and store in the skills dictionary # instantiate each Skill and store in the skills dictionary
self.skills = {cls.__name__: cls(agent=self.agent) for cls in classes} self.skills = {cls.__name__: cls(agent=self.agent) for cls in classes}

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@@ -0,0 +1,91 @@
import os
from numbers import Real
from behaviors.behavior import Behavior
from behaviors.custom.keyframe.keyframe import KeyframeSkill
class Kick(Behavior):
SHORT_MAX_DISTANCE: float = 1.8
MID_MAX_DISTANCE: float = 4.5
TEN_METER_MIN_DISTANCE: float = 8.0
DEFAULT_DISTANCE: float = 3.0
def __init__(self, agent):
super().__init__(agent)
base_dir = os.path.dirname(__file__)
self.short_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_short.yaml"),
)
self.mid_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_mid.yaml"),
)
self.long_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_long.yaml"),
)
self.ten_meter_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_10m.yaml"),
)
self.current_kick: KeyframeSkill | None = None
self.should_reset_kick: bool = True
self.should_execute_neutral: bool = True
def execute(self, reset: bool, *args, **kwargs) -> bool:
if reset:
kick_distance = self._extract_kick_distance(*args, **kwargs)
self.current_kick = self._choose_kick_from_distance(kick_distance)
self.should_reset_kick = True
self.should_execute_neutral = True
if self.current_kick is None:
self.current_kick = self.mid_kick
if self.should_execute_neutral:
neutral_finished = self.agent.skills_manager.execute(
"Neutral",
)
self.should_reset_kick = False
if not neutral_finished:
return False
self.should_execute_neutral = False
self.should_reset_kick = True
has_finished = self.current_kick.execute(reset=self.should_reset_kick)
self.should_reset_kick = False
return has_finished
def _extract_kick_distance(self, *args, **kwargs) -> float:
distance_candidates = (
kwargs.get("distance"),
kwargs.get("kick_distance"),
kwargs.get("target_distance"),
kwargs.get("ball_to_target_distance"),
args[0] if args else None,
)
for candidate in distance_candidates:
if isinstance(candidate, Real):
return float(max(0.0, candidate))
return self.DEFAULT_DISTANCE
def _choose_kick_from_distance(self, distance: float) -> KeyframeSkill:
if distance <= self.SHORT_MAX_DISTANCE:
return self.short_kick
if distance <= self.MID_MAX_DISTANCE:
return self.mid_kick
if distance >= self.TEN_METER_MIN_DISTANCE:
return self.ten_meter_kick
return self.long_kick
def is_ready(self, *args) -> bool:
return True

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@@ -0,0 +1,187 @@
symmetry: false
kp: 175
kd: 1.4
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -26.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 62.000
Left_Ankle_Pitch: 12.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.000
- delta: 0.23
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -40.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 2.500
Left_Knee_Pitch: 64.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -3.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -6.000
- delta: 0.26
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -56.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 5.000
Left_Knee_Pitch: 34.000
Left_Ankle_Pitch: 6.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -6.000
Right_Knee_Pitch: -8.000
Right_Ankle_Pitch: 5.000
Right_Ankle_Roll: -7.000
- delta: 0.10
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 74.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -66.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 5.500
Left_Knee_Pitch: -12.000
Left_Ankle_Pitch: 4.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -2.500
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -6.000
kp: 210
- delta: 0.23
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -24.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 46.000
Left_Ankle_Pitch: 12.500
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -4.000
- delta: 0.23
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -18.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 38.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -4.000
- delta: 0.34
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 64.000
Left_Shoulder_Roll: -72.000
Left_Elbow_Pitch: -58.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 68.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 0.000
Right_Hip_Roll: 0.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: 0.000
Right_Ankle_Pitch: 0.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -0,0 +1,213 @@
symmetry: false
kp: 160
kd: 1.3
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -18.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 38.000
Left_Ankle_Pitch: 12.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -38.000
Right_Ankle_Pitch: 10.000
Right_Ankle_Roll: -5.000
- delta: 0.20
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -30.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 2.000
Left_Knee_Pitch: 24.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 26.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -3.000
Right_Knee_Pitch: -40.000
Right_Ankle_Pitch: 10.000
Right_Ankle_Roll: -6.000
- delta: 0.21
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -48.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 4.000
Left_Ankle_Pitch: 4.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -4.000
Right_Knee_Pitch: -36.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -7.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 74.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -56.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 4.000
Left_Knee_Pitch: -4.000
Left_Ankle_Pitch: 2.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 22.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.500
Right_Knee_Pitch: -28.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -6.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 76.000
Left_Shoulder_Roll: -88.000
Left_Elbow_Pitch: -78.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 42.000
Right_Elbow_Pitch: -62.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -60.000
Left_Hip_Roll: 14.000
Left_Hip_Yaw: 5.000
Left_Knee_Pitch: -8.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 20.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: -2.000
Right_Knee_Pitch: -24.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -5.000
kp: 190
- delta: 0.21
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -22.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 16.000
Left_Ankle_Pitch: 11.500
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.21
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -18.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 12.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.31
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 64.000
Left_Shoulder_Roll: -72.000
Left_Elbow_Pitch: -58.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 68.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 20.000
Right_Hip_Roll: -6.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -26.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -0,0 +1,213 @@
symmetry: false
kp: 150
kd: 1.2
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -16.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 36.000
Left_Ankle_Pitch: 12.000
Left_Ankle_Roll: 4.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -36.000
Right_Ankle_Pitch: 9.000
Right_Ankle_Roll: -5.000
- delta: 0.17
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -28.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.500
Left_Knee_Pitch: 24.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 26.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -2.000
Right_Knee_Pitch: -38.000
Right_Ankle_Pitch: 10.000
Right_Ankle_Roll: -6.000
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -44.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 6.000
Left_Ankle_Pitch: 5.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -4.000
Right_Knee_Pitch: -36.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -7.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 74.000
Left_Shoulder_Roll: -84.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -52.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 3.500
Left_Knee_Pitch: -2.000
Left_Ankle_Pitch: 2.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -30.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 76.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -78.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -58.000
Left_Hip_Roll: 14.000
Left_Hip_Yaw: 4.000
Left_Knee_Pitch: -6.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 22.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -26.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -6.000
kp: 180
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -20.000
Left_Hip_Roll: 10.500
Left_Hip_Yaw: 2.000
Left_Knee_Pitch: 20.000
Left_Ankle_Pitch: 11.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -16.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 14.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.26
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 64.000
Left_Shoulder_Roll: -72.000
Left_Elbow_Pitch: -58.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 68.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 20.000
Right_Hip_Roll: -6.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -26.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -0,0 +1,213 @@
symmetry: false
kp: 140
kd: 1.2
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -70.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -12.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 35.000
Left_Ankle_Pitch: -18.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.000
- delta: 0.16
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -70.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -25.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 45.000
Left_Ankle_Pitch: -20.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.500
- delta: 0.17
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -40.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 2.000
Left_Knee_Pitch: 18.000
Left_Ankle_Pitch: -24.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: -2.000
Right_Knee_Pitch: -8.000
Right_Ankle_Pitch: 5.000
Right_Ankle_Roll: -7.000
- delta: 0.16
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 73.500
Left_Shoulder_Roll: -84.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -48.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: -8.000
Left_Ankle_Pitch: -18.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -5.000
- delta: 0.16
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 75.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -70.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -50.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 5.000
Left_Ankle_Pitch: -22.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -5.000
kp: 170
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 73.500
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -69.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -8.000
Left_Hip_Roll: 9.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 28.000
Left_Ankle_Pitch: -22.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 8.000
Right_Hip_Roll: -5.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -8.000
Right_Ankle_Pitch: 5.000
Right_Ankle_Roll: -3.000
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -68.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -62.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -2.000
Left_Hip_Roll: 9.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 28.000
Left_Ankle_Pitch: -18.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 8.000
Right_Hip_Roll: -5.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -3.000
- delta: 0.24
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 65.000
Left_Shoulder_Roll: -75.000
Left_Elbow_Pitch: -60.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -65.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -60.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 0.000
Right_Hip_Roll: 0.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: 0.000
Right_Ankle_Pitch: 0.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -1,63 +0,0 @@
import logging
import socket
logger = logging.getLogger(__name__)
class MonitorClient:
"""
TCP client for the RCSSServerMJ monitor port.
Sends monitor commands via the length-prefixed S-expression protocol.
"""
def __init__(self, host: str = "localhost", port: int = 60001):
self._host = host
self._port = port
self._socket: socket.socket | None = None
def connect(self) -> None:
self._socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._socket.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
self._socket.connect((self._host, self._port))
logger.info("Monitor connection established to %s:%d.", self._host, self._port)
def close(self) -> None:
if self._socket is not None:
self._socket.close()
self._socket = None
def send(self, msg: str) -> None:
data = msg.encode()
self._socket.send(len(data).to_bytes(4, byteorder="big") + data)
def place_ball(
self,
pos: tuple[float, float, float],
vel: tuple[float, float, float] | None = None,
) -> None:
msg = f"(ball (pos {pos[0]} {pos[1]} {pos[2]})"
if vel is not None:
msg += f" (vel {vel[0]} {vel[1]} {vel[2]})"
msg += ")"
self.send(msg)
def drop_ball(self) -> None:
self.send("(dropBall)")
def kick_off(self, side: str = "Left") -> None:
self.send(f"(kickOff {side})")
def set_play_mode(self, mode: str) -> None:
self.send(f"(playMode {mode})")
def place_player(
self,
unum: int,
team_name: str,
pos: tuple[float, float, float],
) -> None:
self.send(
f"(agent (unum {unum}) (team {team_name}) (pos {pos[0]} {pos[1]} {pos[2]}))"
)

7
kick_test.sh Executable file
View File

@@ -0,0 +1,7 @@
#!/bin/bash
export OMP_NUM_THREADS=1
host=${1:-localhost}
port=${2:-60000}
python3 run_player.py --host $host --port $port -n 1 -t SE &

9
readme.md Normal file → Executable file
View File

@@ -41,14 +41,7 @@ CLI parameter (a usage help is also available):
- `--port <port>` to specify the agent port (default: 60000) - `--port <port>` to specify the agent port (default: 60000)
- `-n <number>` Player number (111) (default: 1) - `-n <number>` Player number (111) (default: 1)
- `-t <team_name>` Team name (default: 'Default') - `-t <team_name>` Team name (default: 'Default')
- `-f <field>` Field profile (default: `fifa`)
### Field profiles
There are two supported ways to run Apollo3D:
- Official rules test: use the server with `--rules ssim`, and run agents with `-f fifa`. This matches the current `rcssservermj` default field for the SSIM rule book.
- Apollo custom 7v7: run agents with `-f sim3d_7vs7`. This profile is kept for Apollo's custom small-field setup and should not be treated as the official SSIM geometry baseline.
### Run a team ### Run a team
You can also use a shell script to start the entire team, optionally specifying host and port: You can also use a shell script to start the entire team, optionally specifying host and port:
@@ -62,8 +55,6 @@ Using **Poetry**:
poetry run ./start_7v7.sh [host] [port] poetry run ./start_7v7.sh [host] [port]
``` ```
`start_7v7.sh` now launches agents explicitly with `-f sim3d_7vs7`.
CLI parameter: CLI parameter:
- `[host]` Server IP address (default: 'localhost') - `[host]` Server IP address (default: 'localhost')

View File

@@ -16,7 +16,7 @@ parser.add_argument("-t", "--team", type=str, default="Default", help="Team name
parser.add_argument("-n", "--number", type=int, default=1, help="Player number") parser.add_argument("-n", "--number", type=int, default=1, help="Player number")
parser.add_argument("--host", type=str, default="127.0.0.1", help="Server host") parser.add_argument("--host", type=str, default="127.0.0.1", help="Server host")
parser.add_argument("--port", type=int, default=60000, help="Server port") parser.add_argument("--port", type=int, default=60000, help="Server port")
parser.add_argument("-f", "--field", type=str, default='fifa', help="Field to be played") parser.add_argument("-f", "--field", type=str, default='sim3d_7vs7', help="Field to be played")
args = parser.parse_args() args = parser.parse_args()

View File

@@ -5,5 +5,5 @@ host=${1:-localhost}
port=${2:-60000} port=${2:-60000}
for i in {1..7}; do for i in {1..7}; do
python3 run_player.py --host $host --port $port -n $i -t SE -f sim3d_7vs7 & python3 run_player.py --host $host --port $port -n $i -t SE &
done done

0
start_FIFA.sh Normal file → Executable file
View File

View File

@@ -51,7 +51,6 @@ class MathOps():
if size == 0: return vec if size == 0: return vec
return vec / size return vec / size
@staticmethod
def rel_to_global_3d(local_pos_3d: np.ndarray, global_pos_3d: np.ndarray, def rel_to_global_3d(local_pos_3d: np.ndarray, global_pos_3d: np.ndarray,
global_orientation_quat: np.ndarray) -> np.ndarray: global_orientation_quat: np.ndarray) -> np.ndarray:
''' Converts a local 3d position to a global 3d position given the global position and orientation (quaternion) ''' ''' Converts a local 3d position to a global 3d position given the global position and orientation (quaternion) '''

View File

@@ -1,229 +1,62 @@
from __future__ import annotations from abc import ABC, abstractmethod
from typing_extensions import override
from abc import ABC
from typing import Literal
import numpy as np
from world.commons.field_landmarks import FieldLandmarks from world.commons.field_landmarks import FieldLandmarks
GoalSide = Literal["our", "their", "left", "right"]
Bounds2D = tuple[float, float, float, float]
class Field(ABC): class Field(ABC):
FIELD_DIM: tuple[float, float, float]
LINE_WIDTH: float
GOAL_DIM: tuple[float, float, float]
GOALIE_AREA_DIM: tuple[float, float]
PENALTY_AREA_DIM: tuple[float, float] | None
PENALTY_SPOT_DISTANCE: float
CENTER_CIRCLE_RADIUS: float
DEFAULT_BEAM_POSES: dict[int, tuple[float, float, float]]
def __init__(self, world): def __init__(self, world):
from world.world import World # type hinting from world.world import World # type hinting
self.world: World = world self.world: World = world
self.field_landmarks: FieldLandmarks = FieldLandmarks(field=self) self.field_landmarks: FieldLandmarks = FieldLandmarks(world=self.world)
def _resolve_side(self, side: GoalSide) -> Literal["left", "right"]: def get_our_goal_position(self):
if side in ("our", "left"): return (-self.get_length() / 2, 0)
return "left"
if side in ("their", "right"):
return "right"
raise ValueError(f"Unknown field side: {side}")
def get_width(self) -> float: def get_their_goal_position(self):
return self.FIELD_DIM[1] return (self.get_length() / 2, 0)
def get_length(self) -> float: @abstractmethod
return self.FIELD_DIM[0] def get_width(self):
raise NotImplementedError()
def get_goal_dim(self) -> tuple[float, float, float]: @abstractmethod
return self.GOAL_DIM def get_length(self):
raise NotImplementedError()
def get_goal_half_width(self) -> float:
return self.GOAL_DIM[1] / 2.0
def get_center_circle_radius(self) -> float:
return self.CENTER_CIRCLE_RADIUS
def get_goal_position(self, side: GoalSide = "our") -> tuple[float, float]:
resolved_side = self._resolve_side(side)
x = -self.get_length() / 2.0 if resolved_side == "left" else self.get_length() / 2.0
return (x, 0.0)
def get_our_goal_position(self) -> tuple[float, float]:
return self.get_goal_position("our")
def get_their_goal_position(self) -> tuple[float, float]:
return self.get_goal_position("their")
def _build_box_bounds(self, depth: float, width: float, side: GoalSide) -> Bounds2D:
resolved_side = self._resolve_side(side)
field_half_x = self.get_length() / 2.0
half_width = width / 2.0
if resolved_side == "left":
return (-field_half_x, -field_half_x + depth, -half_width, half_width)
return (field_half_x - depth, field_half_x, -half_width, half_width)
def get_goalie_area_bounds(self, side: GoalSide = "our") -> Bounds2D:
return self._build_box_bounds(
depth=self.GOALIE_AREA_DIM[0],
width=self.GOALIE_AREA_DIM[1],
side=side,
)
def get_penalty_area_bounds(self, side: GoalSide = "our") -> Bounds2D:
if self.PENALTY_AREA_DIM is None:
raise ValueError(f"{type(self).__name__} does not define a penalty area")
return self._build_box_bounds(
depth=self.PENALTY_AREA_DIM[0],
width=self.PENALTY_AREA_DIM[1],
side=side,
)
def get_penalty_spot(self, side: GoalSide = "our") -> tuple[float, float]:
resolved_side = self._resolve_side(side)
x = (self.get_length() / 2.0) - self.PENALTY_SPOT_DISTANCE
return (-x, 0.0) if resolved_side == "left" else (x, 0.0)
def _is_inside_bounds(self, pos2d: np.ndarray | tuple[float, float], bounds: Bounds2D) -> bool:
x, y = float(pos2d[0]), float(pos2d[1])
min_x, max_x, min_y, max_y = bounds
return min_x <= x <= max_x and min_y <= y <= max_y
def is_inside_goalie_area(
self, pos2d: np.ndarray | tuple[float, float], side: GoalSide = "our"
) -> bool:
return self._is_inside_bounds(pos2d, self.get_goalie_area_bounds(side))
def is_inside_penalty_area(
self, pos2d: np.ndarray | tuple[float, float], side: GoalSide = "our"
) -> bool:
return self._is_inside_bounds(pos2d, self.get_penalty_area_bounds(side))
def is_inside_field(self, pos2d: np.ndarray | tuple[float, float]) -> bool:
field_half_x = self.get_length() / 2.0
field_half_y = self.get_width() / 2.0
return self._is_inside_bounds(pos2d, (-field_half_x, field_half_x, -field_half_y, field_half_y))
def get_beam_pose(self, number: int) -> tuple[float, float, float]:
try:
return self.DEFAULT_BEAM_POSES[number]
except KeyError as exc:
raise KeyError(f"No beam pose configured for player {number} on {type(self).__name__}") from exc
def get_default_beam_poses(self) -> dict[int, tuple[float, float, float]]:
return dict(self.DEFAULT_BEAM_POSES)
def get_canonical_landmarks(self) -> dict[str, np.ndarray]:
field_half_x = self.get_length() / 2.0
field_half_y = self.get_width() / 2.0
goal_half_y = self.get_goal_half_width()
penalty_marker_x = field_half_x - self.PENALTY_SPOT_DISTANCE
goalie_area_x = field_half_x - self.GOALIE_AREA_DIM[0]
goalie_marker_y = self.GOALIE_AREA_DIM[1] / 2.0
landmarks = {
"l_luf": np.array([-field_half_x, field_half_y, 0.0]),
"l_llf": np.array([-field_half_x, -field_half_y, 0.0]),
"l_ruf": np.array([field_half_x, field_half_y, 0.0]),
"l_rlf": np.array([field_half_x, -field_half_y, 0.0]),
"t_cuf": np.array([0.0, field_half_y, 0.0]),
"t_clf": np.array([0.0, -field_half_y, 0.0]),
"x_cuc": np.array([0.0, self.CENTER_CIRCLE_RADIUS, 0.0]),
"x_clc": np.array([0.0, -self.CENTER_CIRCLE_RADIUS, 0.0]),
"p_lpm": np.array([-penalty_marker_x, 0.0, 0.0]),
"p_rpm": np.array([penalty_marker_x, 0.0, 0.0]),
"g_lup": np.array([-field_half_x, goal_half_y, self.GOAL_DIM[2]]),
"g_llp": np.array([-field_half_x, -goal_half_y, self.GOAL_DIM[2]]),
"g_rup": np.array([field_half_x, goal_half_y, self.GOAL_DIM[2]]),
"g_rlp": np.array([field_half_x, -goal_half_y, self.GOAL_DIM[2]]),
"l_luga": np.array([-goalie_area_x, goalie_marker_y, 0.0]),
"l_llga": np.array([-goalie_area_x, -goalie_marker_y, 0.0]),
"l_ruga": np.array([goalie_area_x, goalie_marker_y, 0.0]),
"l_rlga": np.array([goalie_area_x, -goalie_marker_y, 0.0]),
"t_luga": np.array([-field_half_x, goalie_marker_y, 0.0]),
"t_llga": np.array([-field_half_x, -goalie_marker_y, 0.0]),
"t_ruga": np.array([field_half_x, goalie_marker_y, 0.0]),
"t_rlga": np.array([field_half_x, -goalie_marker_y, 0.0]),
}
if self.PENALTY_AREA_DIM is not None:
penalty_area_x = field_half_x - self.PENALTY_AREA_DIM[0]
penalty_marker_y = self.PENALTY_AREA_DIM[1] / 2.0
landmarks.update(
{
"l_lupa": np.array([-penalty_area_x, penalty_marker_y, 0.0]),
"l_llpa": np.array([-penalty_area_x, -penalty_marker_y, 0.0]),
"l_rupa": np.array([penalty_area_x, penalty_marker_y, 0.0]),
"l_rlpa": np.array([penalty_area_x, -penalty_marker_y, 0.0]),
"t_lupa": np.array([-field_half_x, penalty_marker_y, 0.0]),
"t_llpa": np.array([-field_half_x, -penalty_marker_y, 0.0]),
"t_rupa": np.array([field_half_x, penalty_marker_y, 0.0]),
"t_rlpa": np.array([field_half_x, -penalty_marker_y, 0.0]),
}
)
return landmarks
class FIFAField(Field): class FIFAField(Field):
FIELD_DIM = (105.0, 68.0, 40.0) def __init__(self, world):
LINE_WIDTH = 0.1 super().__init__(world)
GOAL_DIM = (1.6, 7.32, 2.44)
GOALIE_AREA_DIM = (5.5, 18.32) @override
PENALTY_AREA_DIM = (16.5, 40.32) def get_width(self):
PENALTY_SPOT_DISTANCE = 11.0 return 68
CENTER_CIRCLE_RADIUS = 9.15
DEFAULT_BEAM_POSES = { @override
1: (2.1, 0.0, 0.0), def get_length(self):
2: (22.0, 12.0, 0.0), return 105
3: (22.0, 4.0, 0.0),
4: (22.0, -4.0, 0.0),
5: (22.0, -12.0, 0.0),
6: (15.0, 0.0, 0.0),
7: (4.0, 16.0, 0.0),
8: (11.0, 6.0, 0.0),
9: (11.0, -6.0, 0.0),
10: (4.0, -16.0, 0.0),
11: (7.0, 0.0, 0.0),
}
class HLAdultField(Field): class HLAdultField(Field):
FIELD_DIM = (14.0, 9.0, 40.0) def __init__(self, world):
LINE_WIDTH = 0.05 super().__init__(world)
GOAL_DIM = (0.6, 2.6, 1.8)
GOALIE_AREA_DIM = (1.0, 4.0)
PENALTY_AREA_DIM = (3.0, 6.0)
PENALTY_SPOT_DISTANCE = 2.1
CENTER_CIRCLE_RADIUS = 1.5
DEFAULT_BEAM_POSES = {
1: (5.5, 0.0, 0.0),
2: (2.0, -1.5, 0.0),
3: (2.0, 1.5, 0.0),
}
@override
def get_width(self):
return 9
@override
def get_length(self):
return 14
class Soccer7vs7Field(Field): class Soccer7vs7Field(Field):
FIELD_DIM = (55.0, 36.0, 40.0) def __init__(self, world):
LINE_WIDTH = 0.1 super().__init__(world)
GOAL_DIM = (0.84, 3.9, 2.44)
GOALIE_AREA_DIM = (2.9, 9.6) @override
PENALTY_AREA_DIM = (8.6, 21.3) def get_width(self):
PENALTY_SPOT_DISTANCE = 5.8 return 36
CENTER_CIRCLE_RADIUS = 4.79
DEFAULT_BEAM_POSES = { @override
1: (2.0, 0.0, 0.0), def get_length(self):
2: (12.0, 8.0, 0.0), return 55
3: (13.5, 0.0, 0.0),
4: (12.0, -8.0, 0.0),
5: (7.0, 9.5, 0.0),
6: (4.5, 0.0, 0.0),
7: (7.0, -9.5, 0.0),
}

View File

@@ -1,16 +1,14 @@
from __future__ import annotations
import numpy as np import numpy as np
from utils.math_ops import MathOps from utils.math_ops import MathOps
class FieldLandmarks: class FieldLandmarks:
def __init__(self, field): def __init__(self, world):
self.field = field from world.world import World # type hinting
self.world = field.world
self.landmarks: dict[str, np.ndarray] = {} self.world: World = world
self.canonical_landmarks: dict[str, np.ndarray] = field.get_canonical_landmarks()
self.landmarks: dict = {}
def update_from_perception(self, landmark_id: str, landmark_pos: np.ndarray) -> None: def update_from_perception(self, landmark_id: str, landmark_pos: np.ndarray) -> None:
""" """
@@ -23,19 +21,14 @@ class FieldLandmarks:
global_pos_3d = MathOps.rel_to_global_3d( global_pos_3d = MathOps.rel_to_global_3d(
local_pos_3d=local_cart_3d, local_pos_3d=local_cart_3d,
global_pos_3d=world.global_position, global_pos_3d=world.global_position,
global_orientation_quat=world.agent.robot.global_orientation_quat, global_orientation_quat=world.agent.robot.global_orientation_quat
) )
self.landmarks[landmark_id] = global_pos_3d self.landmarks[landmark_id] = global_pos_3d
def get_landmark_position( def get_landmark_position(self, landmark_id: str) -> np.ndarray | None:
self, landmark_id: str, use_canonical: bool = False
) -> np.ndarray | None:
""" """
Returns the current perceived or canonical global position for a landmark. Returns the calculated 2d global position for a given landmark ID.
Returns None if the landmark is not currently visible or processed.
""" """
source = self.canonical_landmarks if use_canonical else self.landmarks return self.global_positions.get(landmark_id)
return source.get(landmark_id)
def get_canonical_landmark_position(self, landmark_id: str) -> np.ndarray | None:
return self.canonical_landmarks.get(landmark_id)